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How SkillShow automates youth sports video processing using Amazon Transcribe
- The youth sports market valued at $37.5 billion globally is projected to grow by 9.2% annually through 2030, with around 60 million young athletes participating worldwide.
- SkillShow, a leader in youth sports video production, used Amazon Transcribe and AWS ML services to automate video processing, reducing editing time and costs.
- SkillShow faced operational challenges due to manual video editing processes, leading to increased costs and a 3-week turnaround time per event.
- The solution involved audio logging and automated clip generation, offering superior player identification reliability and cost-effectiveness.
- Key AWS services used included Amazon S3 for storage, AWS Lambda for processing workflows, and Amazon Transcribe for speech-to-text conversion.
- The automated pipeline reduced video production time from 3 weeks to 24 hours per event, achieving a 93% success rate in accurately cutting and naming clips.
- SkillShow's streamlined workflow increased its capacity to process multiple events simultaneously, enhancing player identification accuracy and viewing experiences.
- The success of the solution showcases the potential of AWS ML services in transforming resource-intensive video processing workflows into efficient systems.
- SkillShow continues to explore AI/ML capabilities for automated highlight generation, real-time processing, and deeper integration with sports leagues and organizations.
- Organizations can leverage AWS ML services to automate workflows, reduce manual effort, and focus on delivering value to customers rather than managing complex editing operations.
- The article qualifies for web story generation.
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